The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Marketing's Influence within the Firm
Abstract
Although there is increased interest in marketing's changing role within the firm, there is little empirical research that measures the influence of marketing or links marketing's role to situational factors. Drawing on contingency and institutional theories of intraorganizational power, the authors address the following question: In what circumstances does the marketing subunit have higher levels of influence? Results from a survey among U.S. and German companies indicate that (1) the marketing subunit still has substantial influence, (2) marketing's influence is related systematically to determinants other than individual managers’ characteristics, and (3) institutional factors account for variance not explained by the determinants more commonly used in contingency theories in marketing. This implies that organizational dimensions are the result not only of adaptation to environmental conditions, but also of unique historical aspects that become institutionalized within the firm.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Structural model evaluation and modification: An interval estimation approach
Steiger, J. H. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_4 · Cited by 7,408 · cited 2×
“The root mean squared error of approximation (RMSEA) is a fit measure based on the concept of noncentrality (Steiger 1990). Usually, values up to .08 are considered to indicate reasonable model fit (Browne and Cudeck 1993). These criteria all were met in our confirmatory factor analysis model (GFI = .94, AGFI = .93, C…”
MethodInfluentialAn updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
Organizational Strategy, Structure, and Process
Miles, R. E., Snow, C. C., Meyer, A. D., & Coleman, H. J. (1978) · Academy of Management Review · doi:10.5465/amr.1978.4305755 · Cited by 4,527
Diagnosing measurement equivalence in cross-national research.
Mullen, M. R. (1995) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490187 · Cited by 863
Cited by
Diamantopoulos, A., & Siguaw, J. A. (2006) · British Journal of Management · doi:10.1111/j.1467-8551.2006.00500.x · Cited by 3,410
The Role of Relational Information Processes and Technology Use in Customer Relationship Management
Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.177 · Cited by 966
Understanding the Marketing Department's Influence within the Firm
Verhoef, P. C., & Leeflang, P. S. H. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.2.14 · Cited by 587
Market-oriented sustainability: A conceptual framework and propositions
Crittenden, V. L., Crittenden, W. F., Ferrell, L. K., Ferrell, O. C., & Pinney, C. C. (2011) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-010-0217-2 · Cited by 409
Liu, W., & Atuahene-Gima, K. (2018) · Industrial Marketing Management · doi:10.1016/j.indmarman.2018.01.006 · Cited by 298
Metadata
- Authors
- Homburg, C., Workman, J. P., & Krohmer, H.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1999-04
- Volume
- 63
- Issue
- 2
- Pages
- 1-17
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2009341095
- Cited by
- 529
- References
- 8
- FWCI
- 22.44
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Marketing's Influence within the Firm. https://app.cochat.ai/papers/10.1177/002224299906300201
- The paper
- Homburg, C., Workman, J. P., & Krohmer, H. (1999). Marketing's Influence within the Firm. Journal of Marketing. https://doi.org/10.1177/002224299906300201
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
